This paper is in the following e-collection/theme issue:

Theme Issue: Medical Informatics and COVID-19 (107) JMIR Theme Issue: COVID-19 Special Issue (2452) Digital Health, Telehealth and e-Innovation in Clinical Settings (401) Clinical Communication, Electronic Consultation and Telehealth (590) Outbreak and Pandemic Preparedness and Management (1727)

Published on in Vol 9, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25435, first published .
Using an Extended Technology Acceptance Model to Understand the Factors Influencing Telehealth Utilization After Flattening the COVID-19 Curve in South Korea: Cross-sectional Survey Study

Using an Extended Technology Acceptance Model to Understand the Factors Influencing Telehealth Utilization After Flattening the COVID-19 Curve in South Korea: Cross-sectional Survey Study

Using an Extended Technology Acceptance Model to Understand the Factors Influencing Telehealth Utilization After Flattening the COVID-19 Curve in South Korea: Cross-sectional Survey Study

Authors of this article:

Min Ho An1 Author Orcid Image ;   Seng Chan You2 Author Orcid Image ;   Rae Woong Park2, 3 Author Orcid Image ;   Seongwon Lee2 Author Orcid Image
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